- 2026.09: Serving as an Area Chair for ICLR 2027.
- 2026.05: Goal Reviewer @ ICML 2026.
- 2026.05: SegPVSG: Panoptic Video Scene Graph Generation via Temporal Focusing and Generative Augmentation has been accepted by ICML 2026.
- 2025.12: Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems has been accepted by IEEE Transactions on Signal Processing.
- 2025.09: "Multi-View Oriented GPLVM: Expressiveness and Efficiency" has been accepted by NeurIPS 2025.
- 2025.09: Serve as Reviewer for ICLR 2026, AISTATS 2026, ICASSP 2026.
- 2025.08: Special session "Bridging Signal Processing and Machine Learning with Gaussian Processes," has been accepted for ICASSP 2026. Huge thanks to Prof. Petar M. Djurić and Prof. Feng Yin for co-organizing this session.
- 2025.07: "Scalable Random Feature Latent Variable Models" has been published in IEEE Transactions on Pattern Analysis and Machine Intelligence.
- 2025.07: Relocating to HKU
- 2025.06: Contributed talk/poster @ Bayes Comp 2025,
Ensemble filtering in nonlinear dynamical systems - 2025.06: Contributed talk @ Bayesian Methods for Distributional and Semiparametric Regression, Bayes Comp 2025
Towards Flexibility and Learning Efficiency of Gaussian Process State-Space Models - 2025.04: "Hybrid Data-Driven SSM for Interpretable and Label-Free mmWave Channel Prediction" has been accepted by IEEE Transactions on Mobile Computing.
- 2025.03: Gave a talk @ Huawei (Shanghai)
Towards Flexibility and Learning Efficiency of Gaussian Process State-Space Models - 2025.01: "Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel" has been accepted by IEEE Transactions on Neural Networks and Learning Systems.
- 2024.09: Invited to serve as Reviewer for ICLR 2025, AISTATS 2025, ICASSP 2025.
- 2024.08: "Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference" has been accepted by IEEE Transactions on Signal Processing.
- 2024.06: I joined NUS as a Research Fellow
- 2024.06.13: I successfully defended my PhD
- 2024.05: One paper was accepted by ICML 2024, and one paper was accepted by IEEE FUSION 2024
- 2023.02: Paper entitled "Output-Dependent Gaussian Process State-Space Model" has been accepted by IEEE ICASSP 2023.
- 2022.05: Paper entitled "Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data" has been accepted by IEEE FUSION 2022.
- 2022.01.05: I pass the Ph.D. Qualifying Examination and become a Ph.D. candidate.
- 2021.02: Paper entitled "Graph Neural Network for Large-Scale Network Localization" has been accepted by IEEE ICASSP 2021.
- 2020.11.06: Review paper (29-page) entitled "FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing" has been published in IEEE Open Journal of Signal Processing.
- 2020.05: Paper entitled "An Interpretable and Sample Efficient Deep Kernel for Gaussian Process" has been accepted by UAI 2020.